Stochastic Anti-Disturbance Flight Control for Helicopter Systems With Switching Disturbances Under Markovian Parameters
Yankai Li, Mou Chen, Peng Shi, Tao Li
Abstract
In this article, the stochastic anti-disturbance control issue is studied for helicopter systems under multiple random disturbances, in which part disturbances are induced by random noises and others are described by Markovian jump models. Combining the feedback linearization method, backstepping control scheme with nonlinear disturbance observer-based control technology, a stochastic anti-disturbance flight controller is constructed for full-degree-of-freedom helicopter systems to reject the influence of these disturbances and achieve predefined tracking tasks. Meanwhile, the boundedness in probability of tracking errors is guaranteed via the stochastic Markovian jump control system theory. Finally, an example is given to verify the effectiveness of proposed control methods.